M4 Forecasting Competition

The “M” competitions organized by Spyros Makridakis have had an enormous influence on the field of forecasting. They focused attention on what models produced good forecasts, rather than on the mathematical properties of those models. For that, Spyros deserves congratulations for changing the landscape of forecasting research through this series of competitions.Makridakis & Hibon, (JRSSA 1979) was the first serious attempt at a large empirical evaluation of forecast methods. Related To leave a comment for the author, please follow the link and comment on their blog: R on Rob J Hyndman. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more… If you got this far, why…
Original Post: M4 Forecasting Competition

RStudio Keyboard Shortcuts for Pipes

I have just released some simple RStudio add-ins that are great for creating keyboard shortcuts when working with pipes in R. You can install the add-ins from here (which also includes both installation instructions and use instructions/examples). Related To leave a comment for the author, please follow the link and comment on their blog: R – Win-Vector Blog. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more… If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook…
Original Post: RStudio Keyboard Shortcuts for Pipes

Statebins Reimagined

A long time ago, in a github repo far, far away there lived a tiny package that made it possible to create equal area, square U.S. state cartograms in R dubbed statebins . Three years have come and gone and — truth be told — I’ve never been happy with that package. It never felt “right” and that gnawing feeling finally turned into action with a “re-imagining” of the API. Previously, on statebins… There were three different functions in the old-style package: one for discrete scales (it automated ‘cuts’) one for continuous scales one for manual scales It also did some hack-y stuff with grobs to try to get things to look good without putting too much burden on the user. All that “mostly” worked, but I always ended up doing some painful workaround when I needed more custom charts…
Original Post: Statebins Reimagined

Seasonality of plagues by @ellis2013nz

Seasonality of plague deaths In the course of my ramblings through history, I recently came across Mark R. Welford and Brian H. Bossak Validation of Inverse Seasonal Peak Mortality in Medieval Plagues, Including the Black Death, in Comparison to Modern Yersinia pestis-Variant Diseases. This article is part of an interesting epidemiological literature on the seasonality of medieval and early modern European plagues and the twentieth century outbreaks of plague caused by the Yersinia pestis bacterium. Y. pestis is widely credited (if that’s the word) for the 6th century Plague of Justinian, the mid 14th century Black Death, and the Third Pandemic from the mid nineteenth to mid twentieth centuries. The Black Death killed between 75 and 200 million people in Eurasis in only a few years; the Third Pandemic killed at least 12 million. These are important diseases to understand!…
Original Post: Seasonality of plagues by @ellis2013nz

Highlights from the Connect(); conference

Connect();, the annual Microsoft developer conference, is wrapping up now in New York. The conference was the venue for a number of major announcements and talks. Here are some highlights related to data science, machine learning, and artificial intelligence: Lastly, I wanted to share this video presented at the conference from Stack Overflow. Keep an eye out for R community luminary David Robinson programming in R! You can find more from the Connect conference, including on-demand replays of the talks and keynotes, at the link below. Microsoft: Connect(); November 15-17, 2017 Related To leave a comment for the author, please follow the link and comment on their blog: Revolutions. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX,…
Original Post: Highlights from the Connect(); conference

Highlights from the Connect(); conference

Connect();, the annual Microsoft developer conference, is wrapping up now in New York. The conference was the venue for a number of major announcements and talks. Here are some highlights related to data science, machine learning, and artificial intelligence: Lastly, I wanted to share this video presented at the conference from Stack Overflow. Keep an eye out for R community luminary David Robinson programming in R! You can find more from the Connect conference, including on-demand replays of the talks and keynotes, at the link below. Microsoft: Connect(); November 15-17, 2017
Original Post: Highlights from the Connect(); conference

How (& Why) Data Scientists and Data Engineers Should Share a Platform

[unable to retrieve full-text content]Sharing one platform has some obvious benefits for Data Science and Data Engineering teams, but technical, language and process challenges often make this a challenge. Learn how one company implemented single cloud platform for R, Python and other workloads – and some of the unexpected benefits they discovered along the way.
Original Post: How (& Why) Data Scientists and Data Engineers Should Share a Platform

Best Data Science, Machine Learning Courses from Udemy, only $10 until Nov 28- Black Friday/Cybermonday sale

[unable to retrieve full-text content]Black Friday/Cybermonday sale on best courses from Udemy, including Data Science, Machine Learning, Python, Spark, Tableau, and Hadoop – only $10 until Nov 28, 2017.
Original Post: Best Data Science, Machine Learning Courses from Udemy, only until Nov 28- Black Friday/Cybermonday sale

padr version 0.4.0 now on CRAN

I am happy to share that the latest version of padr just hit CRAN. This new version comprises bug fixes, performance improvements and new functions for formatting datetime variables. But above all, it introduces the custom paradigm that enables you to do asymmetric analysis. Improvements to existing functions thicken used to get slowish when the data frame got large. Several adjustments resulted in a considerable performance gain. It is now approximately 6 times faster than in version 0.3.0. Both pad and thicken used to break with noninformative errors when the datetime variable contains missing values. Both functions allow for missing values now. thicken will leave the record containing the missing datetime value where it is and will enter a missing value in the column added to the data frame. pad will move all the records with missing values in the…
Original Post: padr version 0.4.0 now on CRAN